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We survey some results and applications of last percolation models of which the limiting distribution can be evaluated.

Probability · Mathematics 2007-05-23 Jinho Baik

We prove that a directed last passage percolation model with discontinuous macroscopic (non-random) inhomogeneities has a continuum limit that corresponds to solving a Hamilton-Jacobi equation in the viscosity sense. This Hamilton-Jacobi…

Analysis of PDEs · Mathematics 2015-06-18 Jeff Calder

We present a version of the RSK correspondence based on the Pitman transform and geometric considerations. This version unifies ordinary RSK, dual RSK and continuous RSK. We show that this version is both a bijection and an isometry, two…

Probability · Mathematics 2022-04-27 Duncan Dauvergne , Mihai Nica , Bálint Virág

In this note we investigate the last passage percolation model in the presence of macroscopic inhomogeneity. We analyze how this affects the scaling limit of the passage time, leading to a variational problem that provides an ODE for the…

Probability · Mathematics 2016-09-13 Leonardo T. Rolla , Augusto Q. Teixeira

These lectures introduce the method of nonlinear steepest descent for Riemann-Hilbert problems. This method finds use in studying asymptotics associated to a variety of special functions such as the Painlev\'{e} equations and orthogonal…

Mathematical Physics · Physics 2019-03-21 Percy Deift

We consider a last passage percolation model in dimension $1+1$ with potential given by the product of a spatial i.i.d. potential with symmetric bounded distribution and an independent i.i.d. in time sequence of signs. We assume that the…

Probability · Mathematics 2025-01-29 Yuri Bakhtin , Konstantin Khanin , András Mészáros , Jeremy Voltz

We consider last-passage percolation models in two dimensions, in which the underlying weight distribution has a heavy tail of index alpha<2. We prove scaling laws and asymptotic distributions, both for the passage times and for the shape…

Probability · Mathematics 2007-05-23 Ben Hambly , James B. Martin

We consider directed random graphs, the prototype of which being the Barak-Erd\H{o}s graph $\vec G(\mathbb Z, p)$, and study the way that long (or heavy, if weights are present) paths grow. This is done by relating the graphs to certain…

Probability · Mathematics 2024-10-11 Sergey Foss , Takis Konstantopoulos , Bastien Mallein , Sanjay Ramassamy

In i.i.d. exponential last-passage percolation, we describe the joint distribution of Busemann functions, over all edges and over all directions, in terms of a joint last-passage problem in a finite inhomogeneous environment. More…

Probability · Mathematics 2025-06-17 Erik Bates , Elnur Emrah , James Martin , Timo Seppäläinen , Evan Sorensen

The interplay between two-dimensional percolation growth models and one-dimensional particle processes has been a fruitful source of interesting mathematical phenomena. In this paper we develop a connection between the construction of…

Probability · Mathematics 2010-01-26 Eric Cator , Leandro P. R. Pimentel

It has been shown that the last passage time in certain symmetrized models of directed percolation can be written in terms of averages over random matrices from the classical groups $U(l)$, $Sp(2l)$ and $O(l)$. We present a theory of such…

Mathematical Physics · Physics 2015-05-13 Peter J. Forrester , Eric M. Rains

This is a review of the Riemann-Hilbert approach to the large $N$ asymptotics in random matrix models and its applications. We discuss the following topics: random matrix models and orthogonal polynomials, the Riemann-Hilbert approach to…

Mathematical Physics · Physics 2008-06-26 Pavel M. Bleher

We prove a strong law of large numbers for directed last passage times in an independent but inhomogeneous exponential environment. Rates for the exponential random variables are obtained from a discretisation of a speed function that may…

Probability · Mathematics 2018-08-03 Federico Ciech , Nicos Georgiou

The aim of this paper is to study the law of the last passage time of a linear diffusion to a curved boundary. We start by giving a general expression for the density of such a random variable under some regularity assumptions. Following…

Probability · Mathematics 2012-04-26 Christophe Profeta

A competition model on $\mathbb{Z}_+^{2}$ governed by directed last passage percolation is considered. A stochastic domination argument between subtrees of the last passage percolation is put forward.

Probability · Mathematics 2009-11-16 D. Coupier , P. Heinrich

In this paper we will prove a shape theorem for the last passage percolation model on a two dimensional $F$-compound Poisson process, called the Hammersley model with random weights. We will also provide diffusive upper bounds for shape…

Probability · Mathematics 2011-08-29 E. A. Cator , L. P. R. Pimentel

In this paper, we obtain optimal uniform lower tail estimates for the probability distribution of the properly scaled length of the longest up/right path of the last passage site percolation model considered by Johansson in [12]. The…

Probability · Mathematics 2007-05-23 Jinho Baik , Percy Deift , Ken McLaughlin , Peter Miller , Xin Zhou

We present new probabilistic and combinatorial identities relating three random processes: the oriented swap process on $n$ particles, the corner growth process, and the last passage percolation model. We prove one of the probabilistic…

Probability · Mathematics 2026-01-26 Elia Bisi , Fabio Deelan Cunden , Shane Gibbons , Dan Romik

In this paper we study stationary last passage percolation (LPP) in half-space geometry. We determine the limiting distribution of the last passage time in a critical window close to the origin. The result is a new two-parameter family of…

Probability · Mathematics 2021-01-19 Dan Betea , Patrik L. Ferrari , Alessandra Occelli

Last passage percolation (LPP) is a model of a directed metric and a zero-temperature polymer where the main observable is a directed path evolving in a random environment accruing as energy the sum of the random weights along itself. When…

Probability · Mathematics 2025-01-07 Shirshendu Ganguly , Victor Ginsburg , Kyeongsik Nam
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